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Course Outline
AI-Assisted Software Engineering
- Examining the role of AI in contemporary software development.
- Exploring the capabilities and constraints of AI-assisted coding.
- Comparing DeepSeek Coder with other AI coding tools.
Scaling AI-Assisted Development for Large Codebases
- Efficiently generating and refactoring large-scale code with AI.
- Incorporating AI-assisted documentation and inline code explanations.
- Best practices for evaluating AI-generated code within team structures.
Advanced AI-Powered Debugging
- Using AI to pinpoint and resolve complex bugs.
- Creating unit and integration tests utilizing DeepSeek Coder.
- Applying AI for error pattern analysis and predictive debugging.
Automating Software Development Workflows
- Conducting AI-assisted code reviews and static code analysis.
- Generating CI/CD scripts and configuration files with AI support.
- Implementing AI-driven task automation within software teams.
Integrating AI into DevOps and CI/CD Pipelines
- Enhancing DevOps practices through AI-powered automation.
- Utilizing DeepSeek Coder for continuous integration and deployment.
- Navigating security and compliance aspects of AI-assisted development.
Optimizing Performance with AI
- Refactoring AI-generated code for improved efficiency and maintainability.
- Detecting and preventing performance bottlenecks using AI.
- Aligning AI-assisted development with agile methodologies effectively.
Real-World Applications and Case Studies
- Applying AI-assisted development in large-scale software initiatives.
- Industry examples: AI-driven automation in software engineering.
- Emerging trends and advancements in AI-assisted coding.
Summary and Future Directions
Requirements
- Practical experience in programming and software development.
- Foundational knowledge of DeepSeek Coder or comparable AI-assisted coding utilities.
- Proficiency in debugging, code optimization, and standard software development processes.
Target Audience
- Developers seeking to enhance coding efficiency through AI.
- Data engineers looking to automate and refine large-scale scripting.
- Software teams integrating AI technologies into DevOps and CI/CD infrastructures.
14 Hours